C.A.M. van der Velden-de Groot
- Oncology top 5%
- CAR-T cell therapy research 3
- Genetics top 10%
- Virus-based gene therapy research 3
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- Microfluidic and Bio-sensing Technologies 2
- Innovative Microfluidic and Catalytic Techniques Innovation 1
- 3D Printing in Biomedical Research 1
- Fluid Dynamics and Mixing 1
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- Viral Infectious Diseases and Gene Expression in Insects 5
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- Electrohydrodynamics and Fluid Dynamics 2
- Co-authors
- C. B. H. W. LamersArnold G. VultoStefan SleijferJan W. GratamaReno DebetsEgbert OosterwijkMichael den BakkerA. L. van Wezel
- Cited by
- OncologyImmunologyGenetics
- Partner nations
- Netherlands
In The Last Decade
C.A.M. van der Velden-de Groot
7 papers receiving 629 citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Oncology 533
- Immunology 181
- Genetics 201
- Biomedical Engineering 250
- Molecular Biology 237
Countries citing papers authored by C.A.M. van der Velden-de Groot
This map shows the geographic impact of C.A.M. van der Velden-de Groot's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by C.A.M. van der Velden-de Groot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.A.M. van der Velden-de Groot more than expected).
Fields of papers citing papers by C.A.M. van der Velden-de Groot
This network shows the impact of papers produced by C.A.M. van der Velden-de Groot. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by C.A.M. van der Velden-de Groot. The network helps show where C.A.M. van der Velden-de Groot may publish in the future.
Co-authorship network
The 16 scholars most cited alongside C.A.M. van der Velden-de Groot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Treatment of Metastatic Renal Cell Carcinoma With CAIX CAR-engineered T cells: Clinical Evaluation and Management of On-target Toxicitybreakdown → | 2013 | 561 |
| 2 | 2013 | 4 | |
| 3 | 1997 | 4 | |
| 4 | 1996 | 16 | |
| 5 | 1995 | 29 | |
| 6 | 1991 | 8 | |
| 7 | Large scale animal cell cultivation for production of cellular biologicals. | 1985 | 25 |
About C.A.M. van der Velden-de Groot
C.A.M. van der Velden-de Groot is a scholar working on Oncology, Genetics, Biomedical Engineering, Molecular Biology and Infectious Diseases, having authored 7 papers that have together received 647 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (5 papers), Virus-based gene therapy research (3 papers), CAR-T cell therapy research (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Electrohydrodynamics and Fluid Dynamics (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper), 3D Printing in Biomedical Research (1 paper) and Fluid Dynamics and Mixing (1 paper). The work is most often cited by research in Oncology (533 citations), Immunology (181 citations), Genetics (201 citations), Biomedical Engineering (250 citations) and Molecular Biology (237 citations). C.A.M. van der Velden-de Groot has collaborated with scholars based in Netherlands. Frequent co-authors include C. B. H. W. Lamers, Arnold G. Vulto, Stefan Sleijfer, Jan W. Gratama, Reno Debets, Egbert Oosterwijk, Michael den Bakker, A. L. van Wezel, Richard B. M. Schasfoort and E. C. Beuvery. Their work appears in journals such as Molecular Therapy, Journal of Immunological Methods, Cytotherapy, Cytotechnology and PubMed.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.